-
Designing Scalable Multi-Tenant Data Pipelines with Dagster’s Declarative Orchestration
Designing Scalable Multi-Tenant Data Pipelines with Dagster’s Declarative Orchestration
-
Training foundation models up to 10x more efficiently with Memory-Mapped Datasets
Training foundation models up to 10x more efficiently with Memory-Mapped Datasets
-
Closed-form solutions for ODEs
Closed-form solutions for ODEs
-
ODEs and SDEs for machine learning
ODEs and SDEs for machine learning
-
Minimal LSTMs and GRUs: Simple, Efficient, and Fully Parallelizable
Minimal LSTMs and GRUs: Simple, Efficient, and Fully Parallelizable
-
Introduction to ODEs
Introduction to ODEs
-
Infinite-Width Networks from Different Viewpoints: A Comprehensive Collection of Research Tutorials
Infinite-Width Networks from Different Viewpoints: A Comprehensive Collection of Research Tutorials
-
Bayesian Neural Networks
Bayesian Neural Networks
-
Neural Network Gaussian Processes
Neural Network Gaussian Processes
-
Pre-training multi-billion parameter LLMs on a single GPU with Flora
Pre-training multi-billion parameter LLMs on a single GPU with Flora
-
DeepRRTime: Robust Time-series Forecasting with a Regularized INR Basis
DeepRRTime: Robust Time-series Forecasting with a Regularized INR Basis
C.S. Sastry, M. Gilany, K. Y. C. Lui, M. Magill, and A. Pashevich. Transactions on Machine Learning Research (TMLR), 2025
-
Radar: Fast Long-Context Decoding for Any Transformer
Radar: Fast Long-Context Decoding for Any Transformer
Y. Hao, M. Zhai, H. Hajimirsadeghi, S. Hosseini, and F. Tung. International Conference on Learning Representations (ICLR), 2025
-
Uncertainty Herding: One Active Learning Method for All Label Budgets
Uncertainty Herding: One Active Learning Method for All Label Budgets
W. Bae, *D. J. Sutherland, and *G. Oliveira. International Conference on Learning Representations (ICLR), 2025
-
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
Y. Wen, B. Shayegh, C. Huang, Y. Cao, and L. Mou. Association for the Advancement of Artificial Intelligence (AAAI), 2025
-
Self-Supervised Pretext Tasks for Event Sequence Data from Detecting Misalignment
Self-Supervised Pretext Tasks for Event Sequence Data from Detecting Misalignment
Y. Wang, H. Zhao, R. Deng, F. Tung, and G. Mori. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2024
-
Unsupervised Event Outlier Detection in Continuous Time
Unsupervised Event Outlier Detection in Continuous Time
S. Nath, K. Y. C. Lui, and S. Liu. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2024
-
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
C. Chen, G. Oliveira, H. Sharifi, and T. Sylvain. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2024
-
Inference, Fast and Slow: Reinterpreting VAEs for OOD Detection
Inference, Fast and Slow: Reinterpreting VAEs for OOD Detection
S. Huang, J. He, and K. Y. C. Lui. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2024
-
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction
Z. Li, Y. Cao, and J. C.K. Cheung. Conference on Neural Information Processing Systems (NeurIPS), 2024
-
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
Y. Hao, Y. Cao, and L. Mou. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2024
-
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
W. Pang, M. Shafieinejad, L. Liu, S. Hazlewood, and X. He. Conference on Neural Information Processing Systems (NeurIPS), 2024
-
Identifying and Addressing Delusions for Target-Directed Decision-Making
Identifying and Addressing Delusions for Target-Directed Decision-Making
M. Zhao, T. Sylvain, D. Precup, and Y. Bengio. Workshop at Conference on Neural Information Processing System (NeurIPS), 2024
-
RBC Borealis partners with Mila to host thought-provoking event at AAAI 2025
RBC Borealis partners with Mila to host thought-provoking event at AAAI 2025
-
Empowering Women in Tech: A Conversation with RBC Borealis
Empowering Women in Tech: A Conversation with RBC Borealis
-
Tackling real-world issues: Let’s SOLVE it Presentations Day Spring 2024
Tackling real-world issues: Let’s SOLVE it Presentations Day Spring 2024
-
NeurIPS 2024 Highlights
NeurIPS 2024 Highlights
-
2023-2024 RBC Borealis Fellowships Award Ceremony: an Evening to Remember
2023-2024 RBC Borealis Fellowships Award Ceremony: an Evening to Remember
-
Celebrating the Future of AI: Meet the 2023-2024 RBC Borealis Fellows
Celebrating the Future of AI: Meet the 2023-2024 RBC Borealis Fellows
-
RBC maintains strong AI leadership position in financial services
RBC maintains strong AI leadership position in financial services
-
Unveiling RBC Borealis: Driving innovation in AI & data
Unveiling RBC Borealis: Driving innovation in AI & data
-
ClickHouse Adoption at RBC Borealis
ClickHouse Adoption at RBC Borealis
-
Supporting Emerging Tech Talent: RBC Borealis at the DLRL Summer School
Supporting Emerging Tech Talent: RBC Borealis at the DLRL Summer School
-
Leading in artificial intelligence through education
Leading in artificial intelligence through education